
Fake-Checking
Description
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This text aims to assist journalists in understanding the complexities of deepfakes from a number of angles including philosophical, historical, technical, and methodological. Rather than approaching deepfakes as a "journalistic apocalypse", this book contextualizes them in the larger historical practice of fact-checking and as a continuum of technological advances in image and video manipulation. Encouraging readers to view fact-checking as a multimodal process, it stresses the importance of combining philosophical and technical tools, especially ones based in epistemology and AI, with the "pavement pounding" essentials of good journalism. The book concludes with a chapter addressing how to explain deepfakes to a public progressively more concerned about the realities and consequences of AI and misinformation.
Fake-Checking serves as a practical reference for journalists and advanced media students who are increasingly required to identify and verify potential deepfakes and their future iterations.
This book is supported by online resources which can be accessed at www.routledge.com/9781032741321.
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Persons
Christopher Schwartz is a Research Scientist in the Department of Cybersecurity at Rochester Institute of Technology, USA.
Matthew Wright is Kevin O'Sullivan Professor and Chair of Cybersecurity at Rochester Institute of Technology, USA.
Content
Acknowledgements
Introduction: From Fact-Checking to Fake-Checking
Chapter 1: Fact-Checking Confronts the Challenge of Deepfakes
Chapter 2: The Evolution of Fakery and Deepfakes
Chapter 3: Detection Practices and Tools
Chapter 4: Deepfake Uses, Ethics, and Emerging Challenges
Chapter 5: Helping Audiences Make Sense of Deepfakes
Conclusion: Journalism in the Matrix?
Glossary
Index
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